Date: Saturday, October 3 and Sunday, October 4, 2009

Registration fee: Non-student ($800), Student/fellow ($100)

Maximum class size: 50

Sponsor: Mango Solutions

Instructors/Teaching Assistants: Richard Pugh

Workshop summary:

This course is designed to review the basic concepts of the R language, before moving onto more pharmacometric-based topics (such as producing typical pk graphics, fitting mixed effects models, interacting with NONMEM and performing simulation-based analyses). This will be a hands-on course, with theory backed up by relevant worked exercises and examples. Please note: some basic experience of the R language is strongly recommended for this workshop.

Schedule:

Review of R Basics
· The R Environment
· R Data Objects
· Using R Functions
· Writing R Functions
· The Apply family of Functions

R Graphics
· Traditional Graphics
· Lattice Graphics

Data functions
· Basic data manipulation
· Preparing PK datasets

Day 2

Working with NONMEM
· The RNMImport library
· The RNMGraphics library
· The xpose library

Fitting Models
· Linear Models
· Non-Linear Models
· Mixed Models

Simulation & Bootstrap
· Tools of the trade
· Statistical distributions
· Creating simulated trial data
· Analyzing simulated trial data
· The boot package